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Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

Aplicaç ã o MySQL estúdio musical

matlab 工具箱 可以实现 机器人关节云图的创建于轨迹(matlab toolbox enables the creation of robot joint cloud on track)

计算峰值信噪比和信噪比的小程序。分享给大家。(PSNR and SNR calculation applets. For everyone to share.)

Programing the Finite Element Method with Matlab

均匀线列阵加权波束形成，包括均匀加权，hanning, hamming, blackman和chebychev加权，并给出极坐标图。(Uniform linear array weighted beamforming, including the uniform weighted, hanning, hamming, blackman and chebychev weighted, and give the polar diagram.)

利用matlab编制灰色预测模型，通过少量的、不完全的信息，建立灰色微分预测模型，对事物发展规律作出模糊性的长期描述（模糊预测领域中理论、方法较为完善的预测学分支）。(Using matlab preparation gray prediction model, a small amount of incomplete information, the establishment of the gray differential prediction model fuzziness long description (fuzzy forecast field theory of the law of development of things, the more perfect branch predictions).)

matlab principal component analysis, PCA算法.(matlab principal component analysis, PCA algorithm.)

this program treat image processing and segmentation methods and can help for functions which concern segmentation

用meshless approcimation diffuse methode 模拟弦振动(String vibration simulation using meshless approcimation diffuse methode)